A good data analysis approach in research should consider both analysis methods and tools:
Methods for analysing data
The data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Two major types of data analysis methods are:
i) qualitative analysis methods and ii) quantitative analysis methods
Qualitative analysis is used to understand words, ideas, and experiences. Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions.
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments). Because the data is collected and analyzed in a statistically way, the results of quantitative analysis can be easily standardized and shared among researchers.
Of course, researcher may consider to mix both analyses. In mixed-methods research, you use both qualitative and quantitative data collection and analysis methods to answer your research question.